Research On GPS/DR/MM Technology Of Intergrated Navigation For Vehicle

Intelligent Vehicle Positioning and Navigation System is a typical representation of new type electronic productions on Vehicle. Its application greatly alleviated the trouble of city transportation system and improved the efficiency of road. In the near 21st century, intelligent and information technology inevitably has applied in transportation system and tools. Faced to this development, Intelligent Vehicle Positioning and Navigation System will undoubtedly provide with a fine future applications.In the first two Chapters, this paper firstly reviews the development of the Vehicle Positioning and Navigation system, then studies the GPS positioning modes in the vehicle navigation system, and analyzes the main errors that influent the positioning accuracy. Then this paper introduces the basic principle of Dead Reckoning system and analyzes the errors of a few adoptable DR sensors. At the same time, an Integrated Kalman Filter mechanization to realize the optimal synthesis of GPS/DR integrated navigation system is designed. And its algorithm is presented. The test results show that the positioning accuracy of the GPS/DR integrated navigation system can be greatly improved by using the adaptive Integrated Kalman Filter.In Chapter three, this paper introduces the thought of Map-Matching, studies five map-matching methods and gives the advantages and disadvantages of these methods by comparison. Then this paper brings forth an improved method of map-matching which can implement real-time, reliable map-matching, select accurate candidate roads. Furthermore, the definition of the truth degree for map-matching calibrations and its implementation algorithm are presented based on the fuzzy logic comprehensive judgment theory. This new conception provides explicit references that are very useful in evaluating the reliability of map-matching results.In Chapter four, in order to verify the performance of the system based on GPS/DR/MM Technology of Integrated Navigation for Vehicle, this paper tests these methods and analyzes the results.Finally, this paper comes to a conclusion and gives several suggestions about next work.